Cox Regression & More - Survival Analysis - Part 2 - with SPSS & Stata Part 1- • Survival Analysis Pa... More: / @swot_tube English & Amharic Dr. Lemma D. (Ph.D) - Gondar University
Пікірлер: 8
@misganmulatie55542 жыл бұрын
Dear Dr Lemma many thanks, I have learnt from you
@swot_tube Жыл бұрын
It's my pleasure
@AbrHoT-media8 ай бұрын
My God, absolutely amazing lectured !!!
@marthasolomon1838 Жыл бұрын
Dear Dr.Lemma please post more lectures about mixed. and frailty models. Thanks for this one !
@shekashemsi46086 ай бұрын
Thank you so much.we would appreciate if you could post video on survival analysis using R
@hallelujahgetachew9164 Жыл бұрын
Thank you for sharing this vid. I have learned a lot from it! Keep it up Is it possible to remove those covariates that have p values < 0.05 and run Schoenfeld residual?
@lazarousdebebe4840 Жыл бұрын
min largih ante sew ager bante tikuraaaaa
@endaleyehualashet3567 Жыл бұрын
pls Dr. give a hint how to analyses in R program of the following data. Group 1 Group 2 t (weeks) log WBC t (weeks) log WBC 6 2.31 1 2.80 6 4.06 1 5.00 6 3.28 2 4.91 7 4.43 2 4.48 10 2.96 3 4.01 13 2.88 4 4.36 16 3.60 4 2.42 22 2.32 5 3.49 23 2.57 5 3.97 6 3.20+ 8 3.52 9 2.80+ 8 3.05 10 2.70+ 8 2.32 11 2.60+ 8 3.26 17 2.16+ 11 3.49 19 2.05+ 11 2.12 20 2.01+ 12 1.50 25 1.78+ 12 3.06 32 2.20+ 15 2.30 32 2.53+ 17 2.95 34 1.47+ 22 2.73 35 1.45+ 23 1.97 Consider the remission example data (Freireich et al., Blood, 1963) in an extended form. The data called ‘remission’ gives the remission survival times for the two groups with additional information about white blood cell count for each person studied. Each person’s log white blood cell count is given next to that person’s survival time. The epidemiologic reason for adding log WBC to the data set is that this variable is usually considered an important predictor of survival in leukaemia patients, the higher the WBC, the worse the prognosis. Thus, any comparison of the effects of two treatment groups needs to consider the possible confounding effect of such a variable. All your answers must be accompanied by interpretations/comments. 1) Estimate average survival time (ignoring censoring) 2) Estimate average hazard rate (ignoring censoring) 3) Estimate survivor curve 4) Estimate Median survival time 5) Compare survival experience of two groups using curve and test the significance