I am very new to Stata, and I have a malnutrition management data which I want to analyze. Can anyone give me a lead as to how to go about it using survival analysis? below is sample of the data
| Pat ID | Age | Sex | Religion | Tribe | County of origin | Mother Age | Father Age | Mother_Edu | Father_Edu | Mother_EmpStst | Father_EduStat | Moth_alive | Fath_alive | Marital status | BreastFed | Period_breastFed | Brest-MileEnrolmt | Brest_foodb4enrolmt | When did the child start eating food other than breast milk? | food child typically eats | Numb_ timesfed_ perday | pat_slept_hospital | Numb_admission | history_recurrent_blood_transfusions? | numb_ transfusions | any_med_condition(s)? | medical conditions | immunized_completely? | vaccines_missed | family_monthlyinocme? | income_salary? | income_business? | income_token? | Numb_children_inHH | children_inHH5less | pallor | oedema | dehydration | lymphadenopathy | jaundice | flag_signs | Pertinent | Date of visit | week0_weight | week0_Height_length | Week0_MUAC | Week0_OFC | Week0_typeoffood_priorEnrol | Week0_illness_2weeks | Week0_daignosis | Week0_clin_recomd | Week0_studyfood | week2_weight | week2_Height_length | Week2_MUAC | Week2_OFC | Week2_additive_studyfood | Week2_complet_studyfood | Week2_otherfood_requested | Week2_illness2weeks_b4visit | week2_disgnosis | Week2_clinrecomd | week4_weight | Week4_height_length | Week4_MUAC | Week4_OFC | Week4_additives | Week4_complt_studyfood | week4_other_foodrequested | Week4_illness2week_b4visit | Week4_diagnosis | week4_clinrecomd |
| 1 | 16 | 1 | 1 | Mano | 12 | 22 | 0 | 2 | 3 | 1 | 5 | 1 | 1 | 1 | 1 | 5 | 0 | 1 | 8 | 1 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 3 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | U.hernia | Aug. 3,2021 | 6.49 | 68 | 12.5 | 44 | 2 | 0 | 0 | 2 | 7.48 | 68.5 | 12.5 | 44 | 1 | 1 | 0 | 1 | Abscess | Abx. | 7.57 | 69 | 13 | 44 | 4 | 1 | 0 | 1 | malaria | Antimalarial | ||
| 2 | '' | 1 | Bassa | 4 | 18 | 20 | 4 | 4 | 2 | 3 | 1 | 1 | 1 | 12 | 0 | 1 | 4 | 1 | 4 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | Aug-03 | 7.24 | 70 | 12 | 47 | 5 | 0 | 2 | 7.2 | 70 | 12 | 47 | 0 | 1 | 0 | 0 | 7.35 | 70 | 12.2 | 47 | 0 | 1 | 0 | 0 | ||||||||||||||
| 3 | 19 | 1 | 1 | Kissi | 8 | 39 | 41 | 7 | 8 | 0 | 4 | 1 | 1 | 3 | 1 | 12 | 0 | 1 | 5 | 2 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | Aug 3,2021 | 7.09 | 75 | 12.5 | 43 | 5 | 1 | URTI | Rx | 2 | 7.25 | 75.5 | 12.5 | 43 | 2 | 1 | 1 | 0 | Proper hygiene, ORS | 7.47 | 75.5 | 12.8 | 43.5 | 2 | 1 | 0 | 0 | ||||
| 4 | 13 | 0 | 1 | Bassa | 4 | 24 | 0 | 4 | 6 | 1 | 3 | 1 | 1 | 1 | 1 | 13 | 1 | 1 | 9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | Aug 3,2021 | 7.17 | 73 | 12.5 | 46 | 1 | 1 | fever | Rx | 1 | 7.53 | 73 | 13 | 46 | 0 | 1 | 0 | 0 | 7.69 | 73 | 13 | 46.5 | 0 | 1 | 0 | 0 |
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