(a) Observed hazard rate data (blue) from Barbi and colleagues [1], fitted by log-linear hazard rate regressions for 861 diverse age ranges (grey lines). The Barbi and colleagues [1] age range (orange) produces the largest late-life mortality plateau and (b) produces the greatest overestimate of observed data (orange cross) at advanced ages (blue line, age 105 shown). Seeding random errors into other representative models—e.g., the 50- to 80-years-old regression (green point in (b), green line in (c))—produces (c) late-life mortality deceleration (pink points; p = 2 × 10−4) and constant hazard-rate regressions (black line) past age 105.</p
To shed light on human ageing and the mechanisms of mortality improvements, several complex parametr...
A mortality surface is a measure of mortality indexed by year and age. A central limit theorem for a...
Studying mortality at extreme old ages has been very challenging, mostly because data of good qualit...
The introduction of symmetrically distributed age-coding errors (a) into the log-linear model (orang...
This study highlights how the mortality plateau in Barbi and colleagues can be generated by low-freq...
This study highlights how the mortality plateau in Barbi and colleagues can be generated by low-freq...
In recent years, the importance of describing mortality at the limits of the life span has led to a ...
Widespread population aging has made it critical to understand death rates at old ages. However, stu...
Several organisms, including humans, display a deceleration in mortality rates at advanced ages. Thi...
<b>Background</b>: In low mortality countries, assessing future ageing depends to a large extent on ...
Several organisms, including humans, display a deceleration in mortality rates at advanced ages. Thi...
(a) Introducing random age-reporting errors into a log-linear model of mortality (solid black line) ...
Theories about biological limits to life span and evolutionary shaping of human longevity depend on ...
Theories about biological limits to life span and evolutionary shaping of human longevity depend on ...
Clinical decision models often rely upon survival models predicated on disease-specific hazard funct...
To shed light on human ageing and the mechanisms of mortality improvements, several complex parametr...
A mortality surface is a measure of mortality indexed by year and age. A central limit theorem for a...
Studying mortality at extreme old ages has been very challenging, mostly because data of good qualit...
The introduction of symmetrically distributed age-coding errors (a) into the log-linear model (orang...
This study highlights how the mortality plateau in Barbi and colleagues can be generated by low-freq...
This study highlights how the mortality plateau in Barbi and colleagues can be generated by low-freq...
In recent years, the importance of describing mortality at the limits of the life span has led to a ...
Widespread population aging has made it critical to understand death rates at old ages. However, stu...
Several organisms, including humans, display a deceleration in mortality rates at advanced ages. Thi...
<b>Background</b>: In low mortality countries, assessing future ageing depends to a large extent on ...
Several organisms, including humans, display a deceleration in mortality rates at advanced ages. Thi...
(a) Introducing random age-reporting errors into a log-linear model of mortality (solid black line) ...
Theories about biological limits to life span and evolutionary shaping of human longevity depend on ...
Theories about biological limits to life span and evolutionary shaping of human longevity depend on ...
Clinical decision models often rely upon survival models predicated on disease-specific hazard funct...
To shed light on human ageing and the mechanisms of mortality improvements, several complex parametr...
A mortality surface is a measure of mortality indexed by year and age. A central limit theorem for a...
Studying mortality at extreme old ages has been very challenging, mostly because data of good qualit...