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See Introduction to Survival Analysis for an overview of the Cox Proportional Hazards Model. The Assumptions of the Cox Proportional Hazards Model. The Cox model makes the following assumptions about your data set: All individuals or things in the data set experience the same baseline hazard rate. The regression variables X do not change with time. To use IPUMS-CPS replicate weights in Stata , you must first svyset the data. . svyset [iw=ASECWT], sdrweight (repwtp1-repwtp160) vce (sdr) mse The sample should be treated as a single stratum (the weights contain the relevant information from the sample design), so no PSU should be specified.

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To determine if this difference is statistically significant, Stata performed an F-test which resulted in the following numbers at the bottom of the output: R-squared difference between the two models = 0.022 F-statistic for the difference = 2.206 Corresponding p-value of the F-statistic = 0.142.

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