Conditional Logistic regression analysis for matched case-control study in Stata: Part-11

Conditional Logistic regression analysis for matched case-control study in Stata

Conditional Logistic Regression for Matched Case-Control Data Analysis

Data Source
https://github.com/ahshanulhaque/MyDa...


In this video, we'll explore Conditional Logistic Regression analysis for matched case-control studies using Stata. Matched case-control studies are designed to compare cases and controls that are matched on certain variables, like age or gender, to control for confounding factors. We'll demonstrate how to use the clogit command in Stata to perform this analysis, focusing on how to specify the matched pairs using the strata() option. Through a practical example, we'll interpret the output, including odds ratios and confidence intervals, and discuss how to check the model's fit and assumptions. This video is ideal for researchers and data analysts looking to understand the nuances of analyzing matched case-control data.

#matchedcasecontrol

use "D:\abc\matched_case_control.dta", clear
tab smoking case, col
tab gender case, col
tab residence case, col
tab residence case, col ch
tab bmiCAT3 case, col ch
tab occu case, col ch


clogit case ib0.smoking, group( main_id )or
clogit case ib1.residence, group( main_id )or
clogit case ib1.bmiCAT3, group( main_id )or
clogit case ib1.occu, group( main_id )or

clogit case ib0.smoking ib1.residence ib1.bmiCAT3 ib1.occu , group( main_id )or




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