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MétodoEstatística1,836IA & aprendizado de máquina1,661Ciências da decisão932Métodos de pesquisa1,354Mensuração1,745Causalidade & evidências532Prática de pesquisa118
493 métodos · Causalidade & evidênciasLimpar
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scientometrics

PRISMA-compliant Co-citation analysis

PRISMA-compliant co-citation analysis is a systematic bibliometric method that applies the PRISMA 2020 reporting framework to co-citation analysis. It identifies intellectual clusters in a research field by measuring how frequently pairs of documents are cited together, while ensuring full transparency of the literatur

2 fontes2009
scientometrics

PRISMA-compliant Scoping review

A PRISMA-compliant scoping review is a scoping review conducted and reported according to the PRISMA for Scoping Reviews (PRISMA-ScR) extension, a 20-item checklist plus explanation published by Tricco et al. in 2018. Scoping reviews map the breadth and volume of evidence on a topic without synthesizing effect sizes; t

2 fontes2018
scientometrics

PRISMA-compliant Umbrella Review

A PRISMA-compliant umbrella review is a structured synthesis of existing systematic reviews and meta-analyses on a topic, conducted and reported in accordance with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines — specifically the PRIOR extension developed for umbrella reviews

2 fontes2015
causal inference

Propensity Score Matching in Education Research

Propensity Score Matching (PSM) in education research is a quasi-experimental technique that creates comparable treatment and control groups from observational student, teacher, or school data. By balancing groups on observed background characteristics, it enables credible causal estimates of educational interventions

2 fontes1983
causal inference

Propensity Score Weighting

Propensity score weighting is a causal-inference method that reweights observations so that the covariate distributions of treated and untreated units look exchangeable, enabling unbiased estimation of average treatment effects from observational data. Each unit receives a weight that is the inverse of its probability

2 fontes1983
causal inference

Propensity Score Weighting in Education Research

Propensity score weighting (PSW) is a quasi-experimental technique that reweights observational samples so that treated and comparison students look similar on measured background characteristics, allowing credible causal estimates of educational interventions — such as program participation, instructional method, or s

2 fontes1983
epidemiology

Prospective Case Series

A prospective case series is an observational study design in which a group of patients with a particular condition, exposure, or intervention is identified in advance and followed forward in time according to a pre-specified protocol. Data on outcomes, adverse events, and clinical course are collected as they occur, y

2 fontes1970
epidemiology

Prospective Case-Control Study

A prospective case-control study embeds the case-control logic within a defined cohort followed forward in time. Cases are identified as they occur, rather than looked up in records after the fact, and controls are sampled from the same prospectively monitored base population. This forward-looking approach allows colle

2 fontes1970
epidemiology

Prospective Case-Crossover Design

The prospective case-crossover design is an observational epidemiological study in which each case serves as their own control. Unlike the retrospective variant, exposures are recorded in real time as participants are followed forward, eliminating recall bias. It is particularly suited to investigating transient enviro

2 fontes1991
epidemiology

Prospective Cohort Study

A prospective cohort study assembles a group of participants who are free of the outcome of interest at baseline, measures their exposures, and then follows them forward in time to record who develops the outcome. By collecting exposure data before outcomes occur, it establishes a clear temporal sequence that supports

2 fontes1950
epidemiology

Prospective Diagnostic Accuracy Study

A prospective diagnostic accuracy study enrolls participants before any test results are known and follows them forward in time to evaluate how well an index test (the test under evaluation) distinguishes individuals with and without a target condition, using a reference standard applied independently. Key accuracy met

2 fontes2000
epidemiology

Prospective Dose-Response Analysis

Prospective dose-response analysis is an epidemiological approach that measures exposure levels in a defined population before outcomes occur, then quantifies how the risk or magnitude of an outcome changes systematically as exposure increases. By collecting exposure data prospectively, researchers can establish tempor

2 fontes1965
epidemiology

Prospective Ecological Study

A prospective ecological study is an observational epidemiological design in which groups — not individuals — serve as the unit of analysis, and exposure data are collected going forward in time before outcomes are measured. Investigators define geographically, politically, or socially bounded populations, characterise

2 fontes1950
epidemiology

Prospective Nested Case-Control

A prospective nested case-control study enrolls a cohort before disease onset, follows participants forward in time, and then — once cases develop — samples matched controls from those still at risk at the time each case occurs. By embedding the case-control comparison inside a prospective cohort, the design combines t

2 fontes1977
epidemiology

Prospective Phase IV Study

A prospective Phase IV study is a post-marketing investigation conducted after a drug, device, or intervention has received regulatory approval, following participants forward in real time to collect safety, effectiveness, and utilization data under routine clinical practice conditions. Unlike retrospective designs tha

2 fontes1970
epidemiology

Prospective Randomized Clinical Trial

A prospective randomized clinical trial (RCT) is an experimental study in which participants are assigned to intervention or control groups by chance before any outcomes are observed, then followed forward in time. Random allocation eliminates systematic selection bias, making this design the gold standard for establis

2 fontes1948
epidemiology

Prospective Screening Test Evaluation

A prospective screening test evaluation enrolls participants before the outcome is known, applies the screening test and the reference standard in temporal sequence, and measures how accurately the test identifies individuals with or without the target condition. This forward-looking design minimizes workup bias and sp

2 fontes1980
epidemiology

Prospective Survival Analysis

Prospective survival analysis is a longitudinal study design in which participants are enrolled before the event of interest occurs, followed forward in time under standardised conditions, and analysed using survival-analytic methods to estimate the time until a defined clinical endpoint — such as death, disease recurr

2 fontes1958
scientometrics

Protocol-based Meta-analysis

A protocol-based meta-analysis is a meta-analysis conducted according to a detailed, pre-registered protocol that specifies all key methodological decisions — research questions, eligibility criteria, search strategy, outcome measures, and statistical methods — before data collection begins. Pre-registration, typically

2 fontes1990
scientometrics

Protocol-based Systematic literature review

A protocol-based systematic literature review is a systematic review conducted according to a fully pre-specified and publicly registered research protocol. By committing the review question, eligibility criteria, search strategy, and planned analyses to a registered document before data collection begins, this approac

2 fontes1990
scientometrics

Protocol-based Umbrella review

A protocol-based umbrella review is an umbrella review — a synthesis of existing systematic reviews and meta-analyses on a common topic — conducted under a publicly pre-registered protocol, typically in PROSPERO or a similar registry. Pre-registering the protocol before data collection begins commits the research team

2 fontes2011
health education

PSCS

The PSCS is a self-report instrument measuring healthcare students' and professionals' self-perceived competence in patient safety practices, safety awareness, and safety culture engagement. Developed by Lachman and informed by James Reason's theoretical framework of human error and systems thinking, the PSCS evaluates

2 fontes2012
qualitative research

Qualitative Evidence Synthesis Methods

Qualitative evidence synthesis (QES) is a systematic method for combining and interpreting findings from multiple qualitative research studies to generate higher-level understanding and theory. Different approaches—meta-ethnography, thematic synthesis, meta-narrative review, critical interpretive synthesis—each have di

4 fontes1988
evidence synthesis

Qualitative Meta-Synthesis

Qualitative meta-synthesis is a systematic method for synthesizing findings from multiple qualitative research studies (interviews, focus groups, ethnographies) to develop integrated interpretations and theoretical insights. Formalized by Sandelowski and Barroso (2007) and popularized by Thomas and Harden (2008), quali

3 fontes2007
health economics

Quality-Adjusted Life Year

A QALY measures health benefit as utility weight (0 = death, 1 = perfect health) multiplied by time lived. Developed by Alan Williams in 1985, QALYs enable comparison of disparate health interventions on a common metric. Used globally by health technology assessment bodies—NICE (UK), HAS (France), CADTH (Canada), WHO—t

3 fontes1985
health outcomes

RA-QoL

The RA-QoL is a disease-specific quality of life measure for rheumatoid arthritis (RA). Developed by Stephen McKenna and colleagues in 1997, this 30-item questionnaire quantifies how RA affects daily activities, emotional well-being, functional independence, and social engagement. It is a standard outcome measure in RA

3 fontes1997
epidemiology

Randomized clinical trial

A randomized clinical trial (RCT) is an experimental study design in which participants are randomly assigned to an intervention group or a control group, then followed prospectively to compare outcomes. Random allocation is the defining feature: it distributes known and unknown confounders across groups by chance, mak

2 fontes1948
scientometrics

Rapid Review

A rapid review is a streamlined form of systematic review that deliberately simplifies or omits certain steps — such as dual screening, exhaustive grey-literature search, or full risk-of-bias assessment — in order to deliver timely, policy-relevant evidence synthesis within weeks rather than years. It is increasingly u

2 fontes2000
evidence synthesis

Rapid Review Methodology

A rapid review is a systematic synthesis method that accelerates the evidence review process by streamlining or omitting certain systematic review steps while maintaining transparent, reproducible methodology. Pioneered by Khangura et al. (2012) and codified by the Cochrane Collaboration (2020), rapid reviews answer ur

3 fontes2012
implementation science

RE-AIM Framework

The RE-AIM framework (Reach, Effectiveness, Adoption, Implementation, Maintenance) is a five-dimension evaluation tool designed to assess the public health impact of evidence-based interventions in real-world settings. Developed by Glasgow et al. (1999) to address the gap between efficacy trials (controlled conditions)

3 fontes1999
evidence synthesis

Realist Synthesis

Realist synthesis is a theory-driven, interpretive method for evidence synthesis developed by Ray Pawson (2005) that focuses on understanding HOW and WHY interventions work, rather than WHETHER they work. Grounded in realist philosophy, realist synthesis examines Context-Mechanism-Outcome (CMO) configurations: how spec

3 fontes2005
causal inference

Regression Discontinuity

Regression Discontinuity Design is a quasi-experimental method that identifies a causal effect by locally comparing units just above and just below a cutoff on a continuous assignment (running) variable. Formalised for applied work by Imbens and Lemieux (2008) and developed as a practical framework by Cattaneo, Idrobo,

2 fontes2008
causal inference

Regression discontinuity design in education research

Regression discontinuity design (RDD) in education research exploits a score-based eligibility cutoff — such as a test score threshold, GPA requirement, or age cutoff — to estimate the causal effect of a program, intervention, or policy on student or school outcomes. Units just below and just above the cutoff are treat

2 fontes1960
causal inference

Regression Kink Design

The Regression Kink Design is a quasi-experimental method that estimates a causal effect when a policy rule creates a change in slope (a kink) — rather than a jump — at a known threshold of a running variable. It was formalised as a generalized design by Card, Lee, Pei and Weber (2015) and is the slope-based counterpar

1 fonte2015
epidemiology

Reproduction Number

The basic reproduction number R0 is the expected number of secondary infections produced by a single infectious individual introduced into a fully susceptible population. Formally defined and computationally grounded by Diekmann, Heesterbeek, and Metz in 1990 using the next-generation matrix approach, R0 serves as the

1 fonte1990
epidemiology

Retrospective Case Series

A retrospective case series is an observational study that systematically describes the clinical features, treatments, and outcomes of a defined group of patients by examining pre-existing medical records or administrative data. It looks backward in time — data have already been recorded before the study begins. With n

2 fontes1990
epidemiology

Retrospective case-control study

A retrospective case-control study identifies individuals who already have an outcome of interest (cases) and a comparable group without it (controls), then looks backward in time using existing records to determine prior exposure to a suspected risk factor. The primary measure of association is the odds ratio. This de

2 fontes1950
epidemiology

Retrospective Cohort Study

A retrospective cohort study assembles a group of individuals who share a common starting point and reconstructs their exposure history and subsequent outcomes entirely from pre-existing records. Because the data have already been collected before the study begins, the design is far faster and cheaper than a prospectiv

2 fontes1950
epidemiology

Retrospective cross-sectional epidemiological study

A retrospective cross-sectional epidemiological study measures the prevalence of exposures and outcomes at a single analytical time point using data that were originally recorded in the past — such as medical records, administrative databases, or disease registries. It combines the snapshot logic of a cross-sectional d

2 fontes
epidemiology

Retrospective diagnostic accuracy study

A retrospective diagnostic accuracy study evaluates how well a diagnostic test (the index test) correctly identifies a target condition by applying it to previously collected data or archived specimens alongside a reference standard. Because both index test results and reference standard results are drawn from existing

2 fontes2000
epidemiology

Retrospective nested case-control

A retrospective nested case-control study is an efficient observational design in which cases and matched controls are sampled from within an already-assembled retrospective cohort. Exposure data are retrieved from historical records only for selected participants, dramatically reducing data-collection costs while reta

2 fontes1973
epidemiology

Retrospective phase II clinical trial

A retrospective Phase II clinical trial evaluates a treatment's preliminary efficacy and safety signals using existing archival data — medical records, registries, or electronic health records — rather than prospectively enrolling new patients. It mirrors the objectives of a standard Phase II trial (estimating response

2 fontes1980
epidemiology

Retrospective phase III clinical trial

A retrospective Phase III clinical trial evaluates the comparative efficacy and safety of an intervention against a control using data that were collected before the study was designed. Rather than enrolling new patients prospectively, researchers analyze existing records — from registries, hospital databases, or histo

2 fontes1997
epidemiology

Retrospective survival analysis

Retrospective survival analysis applies time-to-event statistical methods — most commonly the Kaplan-Meier estimator and Cox proportional hazards regression — to data collected from past records rather than through prospective follow-up. The researcher looks back at medical records, disease registries, or administrativ

2 fontes1970
health education

RIPLS

The RIPLS is a 19-item self-report questionnaire designed to measure healthcare students' attitudes and readiness toward interprofessional learning and collaboration. Developed by Parsell and Bligh in 1999, it assesses three core dimensions of interprofessional readiness: teamwork and collaboration, professional identi

1 fonte1999
epidemiology

Risk-adjusted case series

A risk-adjusted case series is an observational study design that reports outcomes for a consecutive or defined group of patients undergoing the same procedure or sharing a condition, while statistically correcting for differences in patient-level baseline risk. Rather than presenting raw complication or mortality rate

2 fontes1990
epidemiology

Risk-adjusted case-control study

A risk-adjusted case-control study is an observational design that identifies individuals with a disease outcome (cases) and comparable individuals without it (controls), then uses statistical adjustment — most commonly multivariable logistic regression — to estimate the association between an exposure and the outcome

2 fontes1950
epidemiology

Risk-adjusted case-crossover design

The risk-adjusted case-crossover design is a self-matched epidemiological method that compares a person's exposure during a brief hazard window immediately preceding an acute event to their exposure during one or more control windows from the same individual, while formally accounting for time-varying or time-fixed cov

2 fontes1991
epidemiology

Risk-adjusted cohort study

A risk-adjusted cohort study is an observational epidemiological design in which a defined group of individuals is followed over time to compare outcomes between exposed and unexposed subgroups, with statistical methods applied to control for measured confounders. Adjustment strategies — including multivariable regress

2 fontes1970
epidemiology

Risk-adjusted cross-sectional epidemiological study

A risk-adjusted cross-sectional epidemiological study measures the prevalence of health outcomes or exposures in a defined population at a single point in time, then applies statistical risk-adjustment methods — such as regression standardization, direct or indirect standardization, or propensity scoring — to remove th

2 fontes1990
epidemiology

Risk-adjusted diagnostic accuracy study

A risk-adjusted diagnostic accuracy study evaluates how well an index test identifies a target condition while explicitly accounting for patient-level risk factors that influence either disease prevalence or test performance. By adjusting for case-mix, it yields accuracy estimates — sensitivity, specificity, and AUC —

2 fontes1980
epidemiology

Risk-adjusted dose-response analysis

Risk-adjusted dose-response analysis quantifies the relationship between increasing levels of an exposure (dose) and the probability or magnitude of an outcome (response), while simultaneously controlling for baseline risk factors that could confound or modify this relationship. The method is widely applied in clinical

2 fontes1980
epidemiology

Risk-adjusted ecological study

A risk-adjusted ecological study is an observational epidemiological design that examines associations between exposures and outcomes measured at the group or area level — such as regions, hospitals, or countries — while statistically controlling for known risk factors also measured at that level. By incorporating risk

2 fontes1980
epidemiology

Risk-adjusted Nested Case-Control

A risk-adjusted nested case-control study embeds a case-control comparison inside a defined cohort and explicitly accounts for differences in baseline risk between cases and controls through covariate adjustment — most commonly via risk scores, propensity scores, or stratification. It preserves the efficiency advantage

2 fontes1977
epidemiology

Risk-adjusted Phase I clinical trial

A risk-adjusted Phase I clinical trial is a first-in-human or dose-finding study that explicitly incorporates patient-level risk covariates — such as organ function, prior therapy, or genetic markers — into the dose-escalation model. Rather than treating all enrolled participants as homogeneous, the design accounts for

2 fontes1990
epidemiology

Risk-adjusted Phase II clinical trial

A risk-adjusted Phase II clinical trial is an early-phase efficacy design that incorporates patient baseline risk strata — such as disease severity, prognostic score, or comorbidity burden — directly into the trial's stopping rules and sample size calculations. By conditioning response targets and futility/efficacy thr

2 fontes1989
epidemiology

Risk-adjusted Phase III clinical trial

A risk-adjusted Phase III clinical trial is a large-scale confirmatory randomized experiment that explicitly incorporates participants' baseline prognostic risk profile into both the randomization process and the primary statistical analysis. By stratifying patients on known risk factors before allocation and adjusting

2 fontes1980
epidemiology

Risk-adjusted Phase IV study

A risk-adjusted Phase IV study is an observational or semi-experimental post-marketing study conducted after a drug or device has received regulatory approval. It uses statistical risk-adjustment techniques — such as propensity score matching, inverse probability weighting, or multivariable regression — to control for

2 fontes1990
epidemiology

Risk-adjusted screening test evaluation

Risk-adjusted screening test evaluation assesses the sensitivity, specificity, and overall discriminatory accuracy of a screening test after accounting for patient-level risk factors (covariates) that independently influence test results or disease prevalence. By conditioning performance metrics on observed covariates

2 fontes1990
causal inference

Robust Causal Impact Analysis

Robust Causal Impact Analysis extends the Bayesian structural time-series CausalImpact framework (Brodersen et al., 2015) by embedding systematic robustness checks — in-time placebo tests, in-space placebo controls, covariate sensitivity analysis, and prior sensitivity assessments — to verify that a detected interventi

2 fontes2015
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