Questions tagged [mortality]
The mortality tag has no usage guidance.
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2answers
33 views
Cox regression different results with different combinations of variables
I need help understanding how to use cox hazzard model to calculate risk of death in data from a cohort study.
I have a set of data on physical activity and I want to do a cox regression on ...
0
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1answer
29 views
How to plot mortality at age curve using lifespan data
I have a table with the lifespan of multiple individuals from a species and would like to use this data to plot a mortality rate curve, similar to that shown in figure 1 of this study:https://www....
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0answers
55 views
R - matrix optimization problem (Lee-Carter with MLE parameters)
I am trying to reproduce one of models evolved on the base of Lee-Carter model by use of RStudio. Because I am still pretty fresh in this software, my question is not really sophisticated.
Applying ...
2
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0answers
57 views
Comparison of extrapolated kaplan-meier survival curve with background mortality
For my research I am doing an health economic assessment of patients with a renal transplant. For my model I need to know their (yearly) mortality probability. My plan was to extrapolate survival data ...
2
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1answer
23 views
How do I determine if the difference between treatment and control is significant when they have different sample sizes?
I am currently performing a test in C. elegans mortality. In my extract and negative control, different sample sizes of worms (25-30 worms) were used due to the degree of difficulty of transferring ...
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0answers
62 views
r - Poor model fit with StMoMo package on Human Mortality Database
I am fitting USA mortality data from Human Mortality Database (with data downloaded from here after registering for a free account https://www.mortality.org/cgi-bin/hmd/hmd_download.php) with the ...
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0answers
22 views
Mortality rates - can multiple (overlapping) categories with <20 events be combined?
I'm trying to track trends in alcohol/tobacco/drug related deaths for a small, rural county. I have some locally produced stats where they seem to just add the relatively few alcohol and drug related ...
1
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1answer
32 views
How to define the Lee-Carter model and its constrains in Bayesian setting
I'm running the Bayesian version of Lee-Carter model on jags, using rjags R package. Given a matrix of data $M$ such that $M_{x,t}=\log m_x(t)$ where $m_x(t)$ is ...
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0answers
93 views
Convert “Alive” counts per replicate and time to survival data
I have a raw data set describing survival in groups of individuals over time, organized as follows:
...
1
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1answer
105 views
Converting annual to daily mortality rate
In one excel workbook I am working on right now, the annual mortality rate is given as 3.082%
And the formula for calculating the daily mortality rate is 1-EXP(LN(1-[annual mortality rate]/365)
Why ...
1
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0answers
76 views
Right-censored cash flows and survival analysis
I am doing survival analysis on a disability claims dataset - each row tells me how long a person has been on claim and whether they have gone off claim yet. Ultimately I am interested in predicting ...
2
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1answer
67 views
Calculating Expected Number of Deaths from Life Tables
Normally, if analysing cohort data, I would expand on time using the Lexis macro (if using SAS) and then calculate the expected number of deaths as the life table central mortality rate (mx) matched ...
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0answers
125 views
How can I compare two standard mortality ratios (SMRs)?
I have a population who I separated into three groups: low, medium, high exposure. I calculated the standard mortality ratios (SMRs) for each of this group using a standard population. One of my ...
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1answer
1k views
What is the best statistical test to compare mortality rates between 2 groups?
I want to compare the mortality rates of 2 groups (control vs treatment).
I have binary data (1 = Alive ; 0 = Dead) which gives me a mortality rate (%).
What is the best way to compare these 2 ...
3
votes
1answer
253 views
Excess Mortality versus Relative Mortality
I have modeled the relative mortality of a US cancer cohort, but I want to apply the results to a cohort from the UK (this is the best option as there was no available UK data).
Initially I thought ...
1
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1answer
62 views
Is there a way to set the desired range of an imputation algorithm?
Goal: I am interested to learn if there is a way to set the range of an imputation algorithm for Missing Not at Random (NMAR) data, such as Multiple Imputation or Maximum Likelihood Estimation.
...
1
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1answer
342 views
analyzing binary mortality data collected at different remeasurement intervals. Bonus for R implementation
I am replicating an analysis that models tree mortality data. Data are structured such that forest sites are revisted at some random interval, which is recorded. It is then determined if a tree lived ...
2
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2answers
349 views
Logistic or Poisson Regression for Mortality Modelling?
I am attempting to model the probability of death while controlling for a number of other variables. I began to do this with standard logistic regression, but I've come across a number of articles ...
2
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0answers
30 views
Would a contingency $\chi^2$ test be useful in this case?
I am looking at mortality of caterpillars who were reared on different diets. I have the total number of caterpillars on each diet on the first day of observation, and then again on the final day of ...
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0answers
27 views
Crude death rate per 100 subjects per year with missing values and different lengths of follow-up
We need to compute the crude death rate per 100 subjects per year. We have a dataset with 383 observations. The death status is available for every subject, but the length of follow up is different ...
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0answers
58 views
Does this analysis make sense and can anyone provide relevent references?
I have a GEE logistic regression model that I've built that predicts that probability of mortality given a rather extensive set of covariates. I wanted to write here as a sanity check of sorts to ...
3
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1answer
196 views
Parametric Bootstrap without model refitting?
I have a GLM poisson model that makes predictions of the probability of death for every observation in my dataset after fitting the model. I then take the sum or mean of these probabilities to obtain ...
0
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1answer
5k views
Calculating force of mortality from life table
The force of mortality at age $x+t$, given survival to $x+t$ is given by
$\mu_{x+t}$ $=-\frac{d}{dt}[ln({}_{t}p_{x})]$
Given a life table I know how to calculate ${}_{t}p_{x}$, but then how can I ...
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1answer
1k views
Modelling a binary outcome when census interval varies
For a current piece of work I’m trying to model the probability of tree death for beech trees in a woodland in the UK. I have records of whether trees were alive or dead for 3 different census periods ...
0
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1answer
72 views
Combining Force of Mortality for F and M to find $l_x$
So I have the definition of the force of mortality as $\mu_x=-\frac{1}{l_x}\frac{d l_x}{dx}$ and I am given two different forces of mortality, one for females as $\mu_x^f=0.05(1.2)^x$ and the other ...
0
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2answers
599 views
Hypothesis testing of two standard mortality ratios
Probably this is an easy question, but I don’t seem to find an answer.
The standard mortality ratio (SMR) is defined as “the ratio of actual number of deaths in the group under study to the expected ...
