Questions tagged [mortality]
Use for studies investigating mortality and related topics like life-tables and life expectancy.
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Do we expect sorted or unshuffled single variable outcomes to be the cause, a mere artifact, or generally prevalent?
Forgive me if this is a high school AP level theorem, my last stats class, but how can we treat upon a y-axis outcome an endogenous exogenous cause from an unnecessary but sufficient artifact. A (1) ...
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Test of statistical significance for equality of two ratios rather than proportions
I have data from two sample surveys done on Maternal Mortality. At each survey, the number of live births and the number of maternal deaths have been recorded. I have calculated the Maternal Mortality ...
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Including exposures in logistic regression
I’m performing a logistic regression in Jupyter Notebook. My target is 1 if a subject died while under observation and 0 if the subject did not die. Not every subject was observed for the same period ...
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What is the significance of population growth a life expectancy ago?
I have this question on the historical population statistics and statistical meaning of "significance" of mortality rates. I estimate 2025 there will be another pandemic yet in the millions. ...
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Can estimated values with wide confidence intervals be used calculate association or correlation coefficients?
I want to test for an association between socioeconomic deprivation and death rates. My data are raw death counts and deprivation ranks for a set of small geographic areas. Some areas have very low ...
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Should COVID excess mortality be corrected afterwards?
A widespread measure of effect of the COVID pandemic is the excess mortality. Two examples of methodologies to calculate are the calculations of the European Union statistics office and the Economist.
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Using a log-poisson model to predict mortality
I'm trying to build a GLM in Python that uses a log-poisson model from the statsmodels package to predict mortality rates.
I have a policy level dataset that, among other features, contains attained ...
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GLM with proportion data and two categorical predictor variables
I want to analyze data on mortality (as number of dead individuals in the total number of individuals) in function of treatment (two levels) and location (four levels). I’m also interested in the ...
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Hessian not listed in GAM output of some models. Does this matter for significance of smooths and comparison with AIC?
Would really appreciate some help as I don't know how to proceed given my GAM results. I haven't had much luck getting answers to my GAM questions (not sure if there is something wrong with the way I ...
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Applications of Mortality Tables and Life Tables?
Recently, I showed my friend what Life Tables and Mortality Tables are (e.g. https://en.wikipedia.org/wiki/Life_table) - I tried to explain possible uses for these kinds of tables but my friend argued ...
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Motivating use of Bayesian splines in excess mortality estimation
I'm reading this paper estimating excess deaths induced by the pandemic. That is, roughly, it constructs a model to estimate how many deaths (from all causes) would have occurred if the pandemic had ...
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Determining climate change effect on mortality rate time series
I am currently conducting research in determining the impact of climate change on mortality. I have got time series of the number of deaths for different age groups which dividing them by their ...
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Prediction of mortality based on age before and after a certain event
I have data on about 320 people. I am trying to predict their mortality before and after a certain event. I tried to apply a logistic regression model using dead or alive as dependent variable and age-...
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Is this question about demographics, human mortality a good fit for this section?
If there's a part of SE which is more fitting for this question, please move it there. Or break it down to me gently.
I've got a question about mortality rates. I want to find the mortality or death ...
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Interpolation to account for heaping effect in mortality time series for regression analysis
I am trying to estimate the relationship between daily temperature and daily number of deaths (from all causes) for a specific location using time series regression. More specifically, using a DLNM, i....
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Independence in Poisson regression when used for rates estimation
I'm interested in using Poisson regression for estimating mortality rates. I've observations for a rather long period, and have to face the fact that covariates often vary over time. This is ...
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Statistical test for probability of survival across different doses [closed]
I have 8 different doses of a chemical and the mortality rate of each group exposed to the chemical. I want to compare the probability of survival across various doses. What sort of statistical ...
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How to get beta coefficients for reference group in Cox proportional hazards regression model survival analysis (R or other)?
The model was calculated using the coxph and survival functions from the survival package (R). Each of nine variables was set as categorical with a reference strata.The criterion was the survival ...
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Why does Covid19 confirmed deaths lag behind all causes deaths?
It appears that Covid19 confirmed deaths dates lag about 10 days behind the all causes deaths.
This is at least true in European countries (I didn't check this elsewhere) and is particularly obvious ...
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Mortality rate Calculations
This is the question , I have tried solving it
Please have a look at the solution, and let me know why q 45 is coming out to be so small ??
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Log-rank test: should I run it once for the whole follow-up or also test for shorter time periods?
Let's assume we have a 5-year follow-up for survival for two groups, and I report their crude mortality rates for years 1, 2, 3, 4 and 5. After that, would it be reasonable to test the mortality ...
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Which control charts to use to track mortality
I am trying to implement control charts in my organization (healthcare) to track various quality outcomes. The first one i want to do is mortality( # patient deaths/ month(or week) ). I have a data ...
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Cox mode: PH violated because of multiple covariates
I have a cox model as follows, comparing survival of 5 subgroups (one is always a reference). Data is relatively large as n = 12 000; however, the sizes of the subgroups range from 60 to 9000 subjects....
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Reporting relative adjusted survival between categorical predictor's levels
I'm looking for an option for reporting relative survival between categorical predictors' levels. It would very easy with Cox regression; however, I am using an AFT model as the proportional hazards ...
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Interpreting the summaries of survival models with different distributions (flexsurvreg R package)
I run several flexsurvreg models with the same predictors and now struggle to interpret their findings in an understandable plain language. Males seem to have lower survival in all models, but the ...
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Analyzing survival: meaningful to report estimates for different time periods with Cox and AFT?
I am trying to figure out the following. Could you please comment on this?
Goal is to compare survival between two groups. Let's assume we have data with one-year follow up and have a simple model for ...
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Comparing the discriminative ability of two comorbidity indices for mortality: should I go for ROC and AUC?
Different comorbidity indices are widely used tools for describing patients' comorbidity statuses. A large score = many illnesses, and vice versa. I would like to compare two such indices to examine ...
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Interpreting mortality trends shown as relative hazard
I am analysing trends in survival. I was recommended to use the following package and parameterization.
I have a model as follows (done with rms package):
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Assessing non-proportional hazards when proportional hazards assumption is violated
Could you help me to proceed with a request by a reviewer?
I have a Cox model like this
time_1year | status ~ p1 + p2 + p3 + p4
I was not able to perform Cox regression at 2 year as the proportional ...
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How to get the number of deaths per month in this dataset?
This dataset shows the number of deaths (of all causes) in the US in 2019. It's labeled in weeks. What is the right interpretation of this for getting the number of deaths in January? Should I add ...
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Confidence interval for Standardized Mortality Ratio
So in a number of places, for example here, I've seen stated without explanation that the standard error of the SMR (at 95% confidence threshold) is simply
$$
SE_{SMR} = 1.96 * \frac{\sqrt O}{E}
$$
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How can both life expectancy and death rate increase over 70 years time for a country?
I see death rate and life expectancy for Greece.
For the first there is a constant growth from 1994 which is envisaged to grow up to 2068.
For the latter there is a constant grown from 1950 which is ...
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Covid-19 and life expectancy
A public figure in my home country said the following:
"The life expectancy in our country is 82 years. The average age of those who die of covid-19 is also about 82 years. Hence, on average, ...
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Why does the US death rate not "match" life expectancy
From the CDC (https://www.cdc.gov/nchs/fastats/deaths.htm):
Death rate: 863.8 deaths per 100,000 population
Life expectancy: 78.6 years
Now in a static situation I ...
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Can I use indirect standardization with the WHO Standard World Population?
I have to compare mortality rates among countries for a variable where the age-specific mortality rate is not available, but the overall rate is.
I want to use indirect standardization with the WHO ...
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How to interpret log Relative Hazard?
Let's have two groups, A and B, and let's assume that A is a reference in Cox model and B has two times higher hazard to die at a certain time point, Hazard Ratio = 2.
But what is log Relative Hazard ...
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Ideas and good practices for reporting crude survival trends?
I have 9-year-spanning data on patients survival (n = 10000). Each patient has a date of inclusion (got a diagnosis), which was used to determine the year of inclusion. Thus, temporal trends can be ...
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Which test should be used to compare crude mortality between 15 groups?
I have fifteen groups (factor levels) and I need to compare their crude mortality. Is Logrank test limited to two groups only? Which test would be correct to use in this case?
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Poisson regression for modeling standardized mortality ratio (SMR)
I have a data set with individuals with a certain diagnosis who are observed from the time of their diagnosis until death or the end date of the study. I want to calculate SMR for the whole group, and ...
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Is this a correct way to confirm Accelerated Failure Time (AFT) method's suitability for analysis? An example
I need to conduct an adjusted survival analysis, however, Cox PH assumption was not met and data stratification isn't a good solution as one of my study groups already has a small number of patients. ...
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Recent mortality [closed]
Recently there are a lot of datapoints regarding COVID-19 related deaths. However I am looking to see how big the impact of non-diagnosed patients is.
Therefore I want to evaluate the deaths (...
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Is there a model to predict mortality rate of an ongoing epidemic?
Following the recent Coronavirus outbreak, various mortality rates have been published.
Most of these are simply the ratio between the deaths and the total verified cases, which is not a very ...
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Estimate remaining time to failure based only on average time to failure
Suppose a random variable X representing time to failure. I don't know its pdf and only know its E[X]. How can I derive E[ X | X > t], i.e. average remaining time to failure? If it is impossible to do ...
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Cut off age for mortality data
I have data with death rates for each year 1921 to 2014; and for each age 0 to 110 as below:
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Representation of $l_x, d_x, L_x, T_x$
There are some problems in my textbook where a life table is given, with some of the entries missing. Based on the given entries, I have to fill up the complete life table.
Suppose it is given $l_0 = ...
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Can you use a multistate life table with a continuous variable?
I am reviewing an article and can't be too explicit about the data, but they are estimating life expectancy and also disease-free life expectancy using multistate tables. Their main predictor/...
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Lee Carter mortality model - OLS (SVD) estimators if errors are heteroscedastic
In the classical Lee-Carter model, central death rates are modelled as follows:
$\log(m(x,t)) = a(x) + b(x)\kappa(t) +\varepsilon(x,t)$
for some $x=0,\ldots,\omega$ and $t=1,\ldots, T$ and where $a(...
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How do I calculate standard error for mortality experiment?
I ran an experiment looking if injuries affect the mortality of crabs over 50 days. How do I calculate the standard error for days when crabs died in relation to the percent mortality? Say I start ...
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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 ...
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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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