of people in the population on this date Birth rate per = no. All material on this collaboration platform is the property of the contributing authors.Calculating Cumulative Incidence with the Kaplan-Meier Method.requires date last observed or date outcome occurred on each individual (end of study can be the last date observed) The essence of the Kaplan-Meier (KM) method is having the date each outcome in the cohort occurred.Analysis is performed by dividing the follow-up time into discrete pieces to calculate probability of survival at each event (survival = probability of no event).eg, if event 1 occurs with probability 1/6 and event 2 with probability 1/2,then the probability of both event 1 and 2 occurring = 1/6 x 1/2 = 1/12.The probability of the event is the number of deaths at each point in time (just 1 here, but it is possible to have more than 1 at the same time) divided by the number in the cohort at that time.So at 1 month of follow-up there was a death and at that time all 10 original members of the cohort were still in follow-up.When the second diagnosis occurs at 3 months of follow-up, only 8 persons are still in follow-up because one person was lost to follow-up at 2 months of follow-up. Goodluck. Comments are warmly welcome, but I make no warranties regarding the quality, content, completeness, suitability, adequacy, sequence, or accuracy of the information.How to calculate the confidence  interval of incidence rate under the Poisson distribution,The exact Poisson confidence interval (CI).to get a quantile of the chi-square distribution.provides different ways to get these confidence intervals.

My problem now is after that I generated a variable CIF1, I can not interpret the result, because if I do a straight % should be 22/99 (22.1%) but then when tabulating CIF1 the max cumulative Incidence become 57%.

I am saying thank you so much to the organizers of this wonderful course 100% thumbs up!This course was challenging and nicely designed by the talented team and yeah the discussion forums were very helpful and felt so happy for completing this wonderful one.One of the main purposes of epidemiology is to describe the frequency of diseases or other conditions that are important for the health of populations. Incidence proportion = Cumulative Incidence = Risk = no. A cumulative incidence value of 0 means that there were no new cases of the disease during the study period. These people should also be excluded from the denominator, which only includes individuals who did not have the disease at the start of the time period. Competing risks occur commonly in medical research.

There may be loss to follow-up for some subjects or new subjects entering or leaving the study population. In this course, you will learn the fundamental tools of epidemiology which are essential to conduct such studies, starting with the measures used to describe the frequency of a disease or health-related condition. So AGVHD is the primary failure, Death is the competing event, and None is not an event at all. incidence, Epidemiology, Prevalence, association.This was a very very informative and I truly enjoyed every bit of it during this 4 weeks. Healthcare research: A textbook for students and practitioners.Waltz, C., Strickland, O., & Lenz, E. R. (2010). The simplest situation in which to calculate cumulative incidence is if all of the persons are followed for the same length of time. You should not omit.Thanks for your answer and your very clear explanation.