ScholarGate
Trợ lý

So sánh phương pháp

Xem các phương pháp đã chọn cạnh nhau; những hàng khác biệt được làm nổi bật.

Phân tích Bảng chéo×Hồi quy Logistic×
Lĩnh vựcThống kêThống kê nghiên cứu
HọHypothesis testProcess / pipeline
Năm ra đời19001958
Người khởi xướngKarl PearsonDavid Roxbee Cox
LoạiDescriptive and inferential categorical analysisMethod
Công trình gốcPearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophical Magazine, 50(302), 157–175. DOI ↗Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242. DOI ↗
Tên gọi kháccrosstab, contingency table analysis, two-way frequency table, bivariate frequency analysislogit model, binomial logistic regression, LR
Liên quan53
Tóm tắtCross-tabulation analysis (contingency table analysis) is a foundational descriptive and inferential technique for examining the relationship between two or more categorical variables. It arranges observed frequencies into a table of rows and columns, enabling visual inspection of patterns and formal chi-square testing of independence between the variables.Logistic regression is a statistical method for modeling the probability of a binary outcome (disease present/absent, success/failure) as a function of continuous and categorical predictors. Developed by David Roxbee Cox (1958), it solves the problem of predicting categorical outcomes by applying a logistic transformation to constrain predictions to the [0,1] probability interval, enabling accurate risk stratification, diagnostic prediction, and causal inference in epidemiology, medicine, and social science.
ScholarGateBộ dữ liệu
  1. v1
  2. 2 Nguồn tài liệu
  3. PUBLISHED
  1. v1
  2. 2 Nguồn tài liệu
  3. PUBLISHED

Đến trang tìm kiếm Tải xuống bản trình chiếu

ScholarGateSo sánh phương pháp: Cross-tabulation analysis · Logistic Regression. Truy cập ngày 2026-06-17 từ https://scholargate.app/vi/compare