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493 menetelmää · Kausaalisuus ja näyttöTyhjennä
Todellisia menetelmiä, jotka vastaavat suodatintasi.
LajitteleSuosioA–ZZ–AUusimmat
causal inference

Machine Learning-Augmented Panel Event Study

The machine learning-augmented panel event study extends the classical panel event study by replacing or augmenting parametric counterfactual models with machine learning estimators — such as LASSO, random forests, or matrix completion — to construct more accurate pre-event baselines, detect violations of parallel tren

2 lähdettä2019
research statistics

Propensity Score Matching

Propensity score matching (PSM) is a method for reducing confounding bias in observational studies by balancing baseline characteristics between treatment groups, simulating randomization. Developed by Rosenbaum and Rubin (1983), it estimates the probability of receiving treatment given observed covariates, then matche

3 lähdettä1983
meta analysis

Publication Bias Analysis

Publication bias analysis examines whether the set of studies included in a meta-analysis is a representative sample of all conducted research, or whether studies with non-significant or unfavorable results have been systematically suppressed. Matthias Egger and colleagues introduced the regression-based funnel plot as

1 lähde1997
causal inference

Sensitivity analysis for causality in education research

Sensitivity analysis for causality in education research tests how robust a quasi-experimental finding is to unmeasured confounding. Rather than assuming all bias has been removed, it quantifies how large a hidden bias would need to be to overturn a causal conclusion — a critical safeguard when randomisation is impossi

2 lähdettä1983
health outcomes

ACT

The ACT is a simple, rapid, patient-centered measure of asthma control. Developed by Robert Nathan and colleagues in 2004, this 5-item questionnaire quantifies how asthma symptoms, activity limitation, and nighttime awakening affect daily life. It is the most widely used asthma control measure in clinical practice and

3 lähdettä2004
epidemiology

Adaptive case series

An adaptive case series is an observational study design that documents a consecutive group of patients with a shared condition or exposure while incorporating pre-specified rules for modifying data collection, monitoring, or stopping criteria as accumulating evidence warrants. It combines the descriptive richness of t

2 lähdettä
epidemiology

Adaptive Case-Control Study

An adaptive case-control study is a case-control design that incorporates pre-specified rules allowing modification of study parameters — such as sample size, case-to-control ratio, or matching criteria — based on interim data, without compromising validity. It combines the efficiency of adaptive methodology with the r

2 lähdettä1950
epidemiology

Adaptive Cohort Study

An adaptive cohort study is a longitudinal observational design that follows a defined group of individuals over time to assess exposure-outcome relationships, while incorporating pre-specified adaptation rules that allow protocol modifications — such as sample-size re-estimation, subgroup enrichment, or measurement sc

2 lähdettä2000
epidemiology

Adaptive Cross-Sectional Epidemiological Study

An adaptive cross-sectional epidemiological study combines the core logic of a cross-sectional survey — measuring exposures and outcomes simultaneously in a defined population at one point in time — with pre-specified adaptive rules that allow modifications to sampling strategy, sample size, or subgroup allocation base

2 lähdettä1990
epidemiology

Adaptive Diagnostic Accuracy Study

An adaptive diagnostic accuracy study evaluates how well an index test distinguishes between patients with and without a target condition, while incorporating pre-specified interim analyses that allow modifications — such as sample size re-estimation, threshold adjustment, or subgroup enrichment — based on accumulating

2 lähdettä2000
epidemiology

Adaptive Dose-Response Analysis

Adaptive dose-response analysis combines pre-specified dose-response modeling with planned interim looks that allow modifications — such as dropping ineffective doses or reallocating sample size — while maintaining statistical integrity. The most widely cited framework is MCP-Mod (Multiple Comparisons and Modeling), en

2 lähdettä2000
epidemiology

Adaptive Ecological Study

An adaptive ecological study is an observational epidemiological design in which the unit of analysis is a group or population (e.g., a region, country, or community) rather than an individual. It extends the classical ecological study by incorporating pre-specified interim decision rules that allow modifications — suc

2 lähdettä1990
epidemiology

Adaptive nested case-control

An adaptive nested case-control study embeds a case-control comparison within a defined cohort and incorporates pre-specified interim decision rules that allow modifications — such as control-to-case ratio adjustment or biomarker sub-sampling revision — based on accumulating data, without compromising the study's valid

2 lähdettä1977
epidemiology

Adaptive Phase I Clinical Trial

An adaptive Phase I clinical trial is a first-in-human or early-phase dose-finding study that continuously updates the recommended dose after each patient cohort using a prespecified statistical model, rather than following a fixed rule. The goal is to identify the maximum tolerated dose (MTD) or the recommended Phase

2 lähdettä1990
epidemiology

Adaptive Phase II Clinical Trial

An adaptive Phase II clinical trial is a prospective experimental design in which pre-specified rules allow the study protocol to be modified — such as dropping arms, adjusting sample size, or narrowing the patient population — based on accumulating interim data, without inflating the Type I error rate. The design is w

2 lähdettä1994
epidemiology

Adaptive Phase III clinical trial

An adaptive Phase III clinical trial is a confirmatory randomized controlled trial that incorporates pre-specified rules allowing modifications to the trial design — such as sample size re-estimation, dose selection, or population enrichment — based on accumulating interim data, while preserving the Type I error rate.

2 lähdettä1969
epidemiology

Adaptive Phase IV study

An Adaptive Phase IV study is a post-marketing surveillance study conducted after a drug or intervention has received regulatory approval, augmented with pre-specified adaptive design elements that allow pre-planned modifications to the study protocol in response to accumulating data. These modifications may include sa

2 lähdettä1990
epidemiology

Adaptive Randomized Clinical Trial

An adaptive randomized clinical trial (adaptive RCT) is a prospective experimental study that uses pre-specified rules to modify one or more trial aspects — such as sample size, allocation ratios, or treatment arms — based on accumulating data collected during the trial itself, while maintaining statistical validity an

2 lähdettä1990
epidemiology

Adaptive screening test evaluation

Adaptive screening test evaluation is a psychometric and epidemiological framework for designing and assessing screening instruments whose item selection or stopping rules adjust dynamically to each respondent's response pattern. Rooted in item response theory (IRT) and computerized adaptive testing (CAT), the method u

2 lähdettä1980
epidemiology

Adaptive Survival Analysis

Adaptive survival analysis integrates adaptive clinical trial design with time-to-event statistical methods, allowing pre-specified modifications to sample size, event targets, or allocation ratios at interim stages based on accumulating survival data. It is widely used in oncology, cardiovascular, and infectious disea

2 lähdettä2000
implementation science

Adoption Scale

Innovation Adoption refers to the extent to which an innovation, evidence-based practice, or new technology is actually used by the target population or in the target setting. Adoption is typically measured as the percentage of eligible users/staff who have adopted the innovation by a specific time point, or the trajec

2 lähdettä1983
healthcare management

Balanced Scorecard in Healthcare

The Balanced Scorecard is a strategic performance management framework that translates an organization's mission and strategy into a comprehensive set of performance measures across four perspectives: financial, customer, internal processes, and learning and growth. Developed by Kaplan and Norton in 1992 for general bu

3 lähdettä1992
health behavior

Barriers to Physical Activity Questionnaire

The Barriers to Physical Activity Questionnaire (BPA) is a scale designed to identify and measure perceived obstacles to exercise engagement. Rooted in the Health Belief Model and Health Promotion Model, the BPA assesses multiple categories of barriers—time constraints, lack of motivation, physical discomfort, cost, la

1 lähde1987
health behavior

Basic Psychological Needs Scale

The Basic Psychological Needs Questionnaire (BPNQ), developed by Gagné (2003) and grounded in Self-Determination Theory by Deci and Ryan, measures satisfaction of three fundamental human psychological needs: Autonomy, Competence, and Relatedness. According to Self-Determination Theory, these three needs are universally

2 lähdettä2003
health behavior

Behavioral Regulation in Exercise Questionnaire

The Behavioral Regulation in Exercise Questionnaire—3 (BREQ-3) is a 24-item measure developed by Wilson and colleagues (2012) to assess the type and quality of motivation underlying exercise behavior. Grounded in Self-Determination Theory, the BREQ-3 measures six regulation types positioned on a continuum from amotivat

2 lähdettä2012
implementation science

Behaviour Change Wheel

The Behaviour Change Wheel (BCW) is a systematic, evidence-based framework for designing behavior change interventions. Developed by Michie et al. (2011) and built on the COM-B model (Capability, Opportunity, Motivation→Behavior), the BCW guides practitioners through a structured process: diagnose behavior change barri

3 lähdettä2011
scientometrics

bibliometrix-assisted PRISMA-based review

A bibliometrix-assisted PRISMA-based review combines the structured, transparent reporting framework of PRISMA with the quantitative science-mapping capabilities of the bibliometrix R package. The approach embeds bibliometric analyses — such as citation analysis, co-authorship mapping, and keyword co-occurrence — into

2 lähdettä2017
scientometrics

bibliometrix-assisted systematic literature review

A bibliometrix-assisted systematic literature review integrates the R package bibliometrix — developed by Aria and Cuccurullo (2017) — into the standard systematic review pipeline to automate and visualize bibliometric performance and science-mapping analyses. It combines the transparency and reproducibility of a proto

2 lähdettä2017
health economics

Budget Impact Analysis

Budget impact analysis estimates the financial consequences (net costs or savings) of implementing a new health technology in a specific healthcare system or population over a short time horizon (typically 1–5 years). Distinct from cost-effectiveness analysis (which compares health outcomes per dollar), BIA answers a b

3 lähdettä2005
health services

CAHPS Survey

The Consumer Assessment of Healthcare Providers and Systems (CAHPS) is a family of evidence-based surveys developed by the Agency for Healthcare Research and Quality (AHRQ) beginning in 1995. It systematically measures patient experiences across diverse healthcare settings including hospitals, ambulatory clinics, and h

3 lähdettä1995
patient centered care

Care Transitions Measure

The Care Transitions Measure (CTM-3) is a three-item patient-reported outcome instrument that assesses how well patients feel prepared for the transition from one care setting to another—for example, from hospital to home, from acute care to rehabilitation, or from hospital to primary care. Developed by Carla Parry and

2 lähdettä2008
epidemiology

Case series

A case series is a descriptive observational study that documents the characteristics, clinical course, and outcomes of a group of patients who share a common condition, exposure, or intervention. Unlike case reports, which focus on a single patient, a case series aggregates data across multiple patients (typically thr

2 lähdettä
epidemiology

Case-control study

A case-control study is a retrospective observational design in which individuals who have developed a disease or outcome of interest (cases) are compared with individuals who have not (controls) to determine whether prior exposure to a putative risk factor differs between the two groups. The primary measure of associa

2 lähdettä1950
epidemiology

Case-crossover design

The case-crossover design is an observational epidemiological method that estimates whether a transient exposure triggers an acute event by comparing each case's exposure during a brief hazard window immediately before the event to their own exposure during earlier control periods. Because each person serves as their o

2 lähdettä1991
causal inference

Causal Discovery Algorithms

Causal discovery is a family of algorithms that automatically learn a directed acyclic graph (DAG) describing causal structure directly from observational data. The constraint-based PC and FCI algorithms were developed by Spirtes, Glymour and Scheines (2000), while the LiNGAM model of Shimizu et al. (2006) exploits lin

2 lähdettä2000
causal inference

Causal Mediation Analysis

Causal mediation analysis is a counterfactual framework that splits a treatment's total effect into a Natural Direct Effect (NDE) and a Natural Indirect Effect (NIE) that runs through a mediator. The modern general approach was formalised by Pearl (2001) and Imai, Keele and Tingley (2010), giving the decomposition a pr

2 lähdettä2010
public health nutrition

CDQ

The Children's Dietary Questionnaire (CDQ) is a parent-proxy or child self-report food frequency questionnaire designed to assess usual dietary intake in children and adolescents aged 6–18 years. Developed by Rockett and colleagues at Harvard School of Public Health in the 1990s, it captures consumption of 60–120 commo

2 lähdettä1995
health outcomes

CHQ

The CHQ is a disease-specific quality of life measure for chronic heart failure (CHF). Developed by Luc Guyonnet and colleagues in 2000, this 20-item questionnaire assesses how heart failure affects dyspnea, fatigue, emotional function, and activity limitation. It is used in heart failure clinical trials and research t

3 lähdettä2000
health education

CLES+T

The CLES+T is a 34-item self-report questionnaire measuring nursing students' perceptions of their clinical learning environment and the quality of supervision received from their clinical preceptor or teacher. Originally developed by Saarikoski and colleagues in 2007 and expanded in 2008 to include a specific teacher

2 lähdettä2007
healthcare management

Clinical Audit

Clinical audit is a systematic, cyclical process that measures the quality of clinical care against evidence-based standards and benchmarks, identifies gaps, and implements improvements to bring practice into alignment with current best evidence. Originating in the UK NHS, clinical audit is now a fundamental quality as

3 lähdettä1989
healthcare management

Clinical Handover Quality Scale

The Clinical Handover Quality Scale (CHQS) is a comprehensive framework and measurement tool for assessing the quality of clinical handovers—the critical communication process by which responsibility for a patient's care is transferred from one provider or team to another. Handovers occur multiple times daily in health

3 lähdettä2008
causal inference

Coarsened Exact Matching

Coarsened Exact Matching is a preprocessing method that achieves covariate balance by temporarily coarsening continuous variables into bins, exactly matching treated and control units within those bins, and then discarding all unmatched units. Introduced by Iacus, King, and Porro (2011, 2012), it bounds imbalance on ea

2 lähdettä2011
causal inference

Coarsened Exact Matching in Education Research

Coarsened Exact Matching (CEM) is a pre-processing matching strategy that reduces imbalance between treated and comparison groups before outcome analysis. In education research it is used to create balanced comparison groups from administrative records, survey data, or quasi-experimental study designs — for example com

2 lähdettä2012
epidemiology

Cohort Study

A cohort study assembles a group of individuals who share a common starting point — typically freedom from the outcome of interest — and follows them over time to observe who develops the outcome. By comparing incidence rates between exposed and unexposed subgroups, researchers can estimate relative risk and absolute r

2 lähdettä1950
patient centered care

CollaboRATE

CollaboRATE is a three-item patient-reported outcome measure designed to assess shared decision making (SDM) quality in clinical consultations. Developed by Glyn Elwyn and colleagues in 2013, it measures the degree to which clinicians involve patients in decisions about their care through simple, actionable items that

1 lähde2013
causal inference

Conditional Process Analysis

Conditional process analysis is Andrew F. Hayes's regression-based PROCESS framework (2018) that combines mediation and moderation in a single model, testing how an indirect effect changes across levels of a moderator. It quantifies conditional indirect and conditional direct effects and tests them with bootstrap confi

2 lähdettä2018
implementation science

Consolidated Framework for Implementation Research

The Consolidated Framework for Implementation Research (CFIR) is a five-domain model designed to systematically evaluate the factors influencing implementation success of evidence-based interventions in health systems. Developed by Damschroder et al. (2009) and refined through extensive use across health domains, CFIR

3 lähdettä2009
patient centered care

Control Preferences Scale

The Control Preferences Scale (CPS) is a five-item measure that assesses a patient's preferred role in healthcare decision making, ranging from a passive (physician-directed) to active (patient-directed) or shared approach. Developed by Lois Degner and colleagues in 1997, the CPS measures the degree of control patients

2 lähdettä1997
causal inference

Convergent Cross Mapping

Convergent Cross Mapping (CCM) is a nonlinear, state-space method for detecting causality between time-series variables embedded in a shared dynamical system. Introduced by George Sugihara and colleagues in their landmark 2012 Science paper, CCM exploits Takens' embedding theorem: if variable X causally influences Y, t

1 lähde2012
health economics

Cost-Benefit Analysis

Cost-benefit analysis compares the total monetary value of benefits produced by a program against its total monetary costs, reporting net present value (NPV) or benefit-cost ratio (BCR). Rooted in welfare economics and used extensively in public policy (transportation, environmental, education, health), CBA answers the

3 lähdettä1970
health economics

Cost-Effectiveness Analysis

Cost-effectiveness analysis compares the incremental cost per unit of health benefit gained by one intervention relative to a comparator (standard care or best alternative). Developed rigorously in the 1980s by Drummond, Stoddart, and colleagues, CEA is now the standard framework for technology appraisal globally. NICE

3 lähdettä1984
healthcare management

Cost-Effectiveness Analysis in HTA

Cost-Effectiveness Analysis (CEA) is an economic evaluation method that compares the cost and health benefits of alternative treatments to determine whether an intervention provides good value for money. Within Health Technology Assessment, CEA is the primary tool for recommending reimbursement and coverage decisions.

3 lähdettä1996
causal inference

Counterfactual Impact Evaluation

Counterfactual Impact Evaluation is a family of causal methods that estimates the effect of an intervention by comparing what actually happened to participants with what would have happened had the intervention not taken place. Formalised in the Rubin Causal Model and extended by Heckman, Imbens and others, CIE underli

2 lähdettä1970
causal inference

Counterfactual Impact Evaluation in Education Research

Counterfactual impact evaluation (CIE) is the systematic application of causal inference designs — such as difference-in-differences, regression discontinuity, matching, and instrumental variables — to measure the genuine effect of education programs, policies, or interventions by constructing a credible counterfactual

2 lähdettä2000
public health

COVID-19 Anxiety Scale

The COVID-19 Anxiety Scale (CAS) is a brief, self-administered instrument designed to assess anxiety symptoms specifically related to the COVID-19 pandemic. Developed by Lipp and colleagues in 2020, it captures worry about infection, social isolation, and pandemic-related uncertainties. The scale is widely used in epid

1 lähde2020
public health

COVID-19 Mental Health Impact Scale

The COVID-19 Mental Health Impact Scale (CMHIS) is a brief, multidimensional instrument assessing anxiety, depression, and stress symptoms triggered by the COVID-19 pandemic. Developed by Wang and colleagues in 2020 during the initial pandemic wave in China, it captures the spectrum of psychological distress across mul

1 lähde2020
research design

Cross-sectional Descriptive Research

Cross-sectional descriptive research collects data from a population or sample at a single point in time to portray the current distribution of characteristics, attitudes, behaviors, or conditions. It answers 'what is happening now?' questions without manipulating variables or following participants over time. Widely u

2 lähdettä1950
epidemiology

Cross-sectional epidemiological study

A cross-sectional epidemiological study measures the exposure(s) and outcome(s) of interest simultaneously in a defined population at a single point in time (or over a short period). Because there is no follow-up, it is the most efficient observational design for estimating disease prevalence and for generating hypothe

2 lähdettä1960
clinical research

Cross-Sectional Study Design

A cross-sectional study (or prevalence study) measures exposure and outcome simultaneously at a single point in time, producing a 'snapshot' of a population. Respondents are recruited and surveyed (or examined) on the same occasion, capturing current prevalence of both exposure and disease. Cross-sectional studies are

3 lähdettä1950
research design

Cross-sectional survey research

Cross-sectional survey research administers a structured questionnaire or interview to a representative sample of a population at one point in time. It is the workhorse design for estimating prevalence, describing group characteristics, and mapping associations among variables across a wide range of disciplines — from

2 lähdettä1930
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