Search Results for Susceptible State

... of vasect- omized males. IUCD users We have 10 r, = L: gk·Eh - k, (1) k-7 where the lower and upper limits of ges- 503 It is now easy to obtain the probability of birth occurring in jth month, B, for a woman who entered into susceptible state at yth month. for j = y + 8, y + 9, , y + 40. S; = Si-I.q[i ~ 2...

.... Alternatively, bias could increase with education through more access to sex-selective medical technologies. Using National Vital Statistics data on the population of live births in the United States for 1969–2018, we examine trends in infant sex ratios by parental race/ethnicity, education, and birth parity...

... of conception. If all of these quantities are assumed to be constant over time and the same for all women, a recursive equation for the pro- portion of married, non-sterile women who are susceptible to conception at time t, s(t), can be developed by assuming that all women start in the susceptible state...

... period, all women are zero parity and fecundable. After suffi- cient time, there are women who have had n births and are in a susceptible state. Each month, among fecundable, n-parity women, a fixed proportion become preg- nant, this proportion being determined by the relevant fecundability. These n...

..." refers to the simulation). Commencing at marriage, there is a probability that a woman will conceive equal to p per month (her fecundability). The history of each woman is simulated in turn, through a series of states, the first of which is susceptibility to conception. Susceptible State For this state...

... interval, she enters pregnancy (Sd, at the termi- nation of which she enters one of the postpartum nonsusceptible states indi- cated. After a stay of variable duration, she again becomes susceptible, passing to So' and so on, the primes indicating that the parameters governing successive vis- its to astate...

... of states, to risks per calendar month. If we com- the first of which is susceptibility to con- mence at marriage, there is a probability ception (i.e., the fecund state) and the sec- that a woman will conceive, equal to p per ond of which (if the woman is not by then (lunar) month, which defines her...

... from outside. Consequently it has been suggested that market towns and villages on main trading routes were particularly susceptible to random infection by travelers (Smith 1987). Conversely, Bradley (1971) states that" inspection of parish registers reveals many parishes, including some of the smaller...

... a constant sum of missing children. Mothers who have an abortion return faster to a susceptible state than those who carry the child to term. Hence, if the number of abortions is high, there will be more pregnancies, and the total number of missing children must be higher to match the fertility observed...

... of the nonsusceptible period, the woman either is sterile or returns to the susceptible state. At the beginning of her marriage, each woman is randomly assigned a desired family size from a distribution that specifies the proportion of women who desire each size. In addition, each woman is randomly assigned a fertility...

... marriage. We assume that she lives in the cohort until the end of the period T. Let S denote the state of reproduction in which the woman lies at the time of the survey. Let S == 0 de- note the state of menstruation; let S == 1, 2, h(1) denote the 1st, 2nd, '" hlth month of non-susceptible period following...

... in the United States in 1969. This file contains information on all medical con- ditions coded on the death certificate as well as the organization of that data into Parts I and II and whether conditions ap- peared on lines a, b, or c of Part I. The underlying cause used in the relative sus- ceptibility...

... . Levine R.J. , Bordson B.L. , Mathew R.M. , Brown M.H. , Stanley J.M. , & Starr T.B. ( 1988 ). Deterioration of Semen Quality during Summer in New Orleans . Fertility and Sterility , 49 , 900 – 07 . State, Regional, and National Monthly and Annual Temperature...

... by offering suggestions about potential uses of genome-wide data other than GWAS and GWGEI that may provide more utility for demographers. More than one-third of adults in the United States are obese (Flegal et al. 2012 ). Given the health consequences of obesity (Mokdad et al. 2003 ), understanding...

... of Anthropology, Pennsylvania State University, University Park, Pennsylvania 16802 A population is composed of individuals who are heterogeneous in their susceptibility to death and disease. This heterogeneity is reflected in the age-specific incidence or mortality (hazard) function. This variation has typically...

.... , Moeshberger M.L. , Li Y.H , & Wang S.T. ( 1992 ). “Estimating Random Effects In the Framingham Heart Study.” . In J.P. Klein , & P.K. Goel (Eds.), Survival Analysis: State of the Art (pp. 99 – 120 ). Dodrecht, The Netherlands : Kluwer Academic Publisher . Lin D.Y...

...–2016 in the United States. First, we use Lexis surfaces based on Serfling models to highlight influenza mortality patterns as well as to identify lingering effects of early-life exposure to specific influenza virus subtypes (e.g., H1N1, H3N2). Second, we use age-period-cohort (APC) methods to explore...

... . Proceedings of the National Academy of Sciences of the United States of America , 103 , 498 – 503 . 10.1073/pnas.0501470103 . Danesh , J. , Whincup , P. , Walker , M. , Lennon , L. , Thomson , A. , Appleby , P. , . . . Pepys , M. B. ( 2000 ). Low grade inflammation...

... few decades, when the prevalence of obesity rose dramatically in the United States? Does the genome-wide genetic susceptibility become smaller after reproductive ages than during reproductive ages? This investigation uses data from FHS. Since 1948, FHS has repeatedly collected information...

... tumor death and to suggest that the distribution of susceptibility to the disease process changed for cohorts. The results of the model imply a sizeable number of U.S. white males in the tumor growth state-a finding not inconsistent with the long latency and changing age pattern of mor- tality risks...