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Chapter 6: Growth Modeling and Survival Analysis

Download all Chapter 6 examples

Example View output Download input Download data View Monte Carlo output Download Monte Carlo input
6.1: Linear growth model for a continuous outcome ex6.1 ex6.1.inp ex6.1.dat mcex6.1 mcex6.1.inp
6.2: Linear growth model for a censored outcome using a censored model ex6.2 ex6.2.inp ex6.2.dat mcex6.2 mcex6.2.inp
6.3: Linear growth model for a censored outcome using a censored-inflated model ex6.3 ex6.3.inp ex6.3.dat mcex6.3 mcex6.3.inp
6.4: Linear growth model for a categorical outcome ex6.4 ex6.4.inp ex6.4.dat mcex6.4 mcex6.4.inp
6.5: Linear growth model for a categorical outcome using the Theta parameterization ex6.5 ex6.5.inp ex6.5.dat mcex6.5 mcex6.5.inp
6.6: Linear growth model for a count outcome using a Poisson model ex6.6 ex6.6.inp ex6.6.dat mcex6.6 mcex6.6.inp
6.7: Linear growth model for a count outcome using a zero-inflated Poisson model ex6.7 ex6.7.inp ex6.7.dat mcex6.7 mcex6.7.inp
6.8: Growth model for a continuous outcome with estimated time scores ex6.8 ex6.8.inp ex6.8.dat mcex6.8 mcex6.8.inp
6.9: Quadratic growth model for a continuous outcome ex6.9 ex6.9.inp ex6.9.dat mcex6.9 mcex6.9.inp
6.10: Linear growth model for a continuous outcome with time-invariant and time-varying covariates ex6.10 ex6.10.inp ex6.10.dat mcex6.10 mcex6.10.inp
6.11: Piecewise growth model for a continuous outcome ex6.11 ex6.11.inp ex6.11.dat mcex6.11 mcex6.11.inp
6.12: Growth model with individually-varying times of observation and a random slope for time-varying covariates for a continuous outcome ex6.12 ex6.12.inp ex6.12.dat mcex6.12 mcex6.12.inp
6.13: Growth model for two parallel processes for continuous outcomes with regressions among the random effects ex6.13 ex6.13.inp ex6.13.dat mcex6.13 mcex6.13.inp
6.14: Multiple indicator linear growth model for continuous outcomes ex6.14 ex6.14.inp ex6.14.dat mcex6.14 mcex6.14.inp
6.15: Multiple indicator linear growth model for categorical outcomes ex6.15 ex6.15.inp ex6.15.dat mcex6.15 mcex6.15.inp
6.16: Two-part (semicontinuous) growth model for a continuous outcome ex6.16 ex6.16.inp ex6.16.dat mcex6.16 mcex6.16.inp
6.17: Linear growth model for a continuous outcome with first-order auto correlated residuals using non-linear constraints ex6.17 ex6.17.inp ex6.17.dat mcex6.17 mcex6.17.inp
6.18: Multiple group multiple cohort growth model ex6.18 ex6.18.inp ex6.18.dat mcex6.18 mcex6.18.inp
6.19: Discrete-time survival analysis ex6.19 ex6.19.inp ex6.19.dat mcex6.19 mcex6.19.inp
6.20: Continuous-time survival analysis using the Cox regression model ex6.20 ex6.20.inp ex6.20.dat mcex6.20 mcex6.20.inp
6.21: Continuous-time survival analysis using a parametric proportional hazards model ex6.21 ex6.21.inp ex6.21.dat mcex6.21 mcex6.21.inp
6.22: Continuous-time survival analysis using a parametric proportional hazards model with a factor influencing survival ex6.22 ex6.22.inp ex6.22.dat mcex6.22 mcex6.22.inp

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