Design of mixed-longitudinal studies

Cross-sectional designs, longitudinal designs in which a single cohort is followed over time, and mixed-longitudinal designs in which several cohorts are followed for a shorter period are compared by their precision, potential for bias due to age, time and cohort effects, and feasibility. Mixed longitudinal studies have two advantages over longitudinal studies: isolation of time and age effects and shorter completion time. Though the advantages of mixed-longitudinal studies are clear, choosing an optimal design is difficult, especially given the number of possible combinations of the number of cohorts and number of overlapping intervals between cohorts. The purpose of this paper is to determine the optimal design for detecting differences in group growth rates.^ The type of mixed-longitudinal study appropriate for modeling both individual and group growth rates is called a "multiple-longitudinal" design. A multiple-longitudinal study typically requires uniform or simultaneous entry of subjects, who are each observed till the end of the study.^ While recommendations for designing pure-longitudinal studies have been made by Schlesselman (1973b), Lefant (1990) and Helms (1991), design recommendations for multiple-longitudinal studies have never been published. It is shown that by using power analyses to determine the minimum number of occasions per cohort and minimum number of overlapping occasions between cohorts, in conjunction with a cost model, an optimal multiple-longitudinal design can be determined. An example of systolic blood pressure values for cohorts of males and cohorts of females, ages 8 to 18 years, is given. ^

Changes in the PQRST intervals and heart rate variability associated with rewarming in two newborns undergoing hypothermia therapy.

BACKGROUND: Little is known about the effects of hypothermia therapy and subsequent rewarming on the PQRST intervals and heart rate variability (HRV) in term newborns with hypoxic-ischemic encephalopathy (HIE). OBJECTIVES: This study describes the changes in the PQRST intervals and HRV during rewarming to normal core body temperature of 2 newborns with HIE after hypothermia therapy. METHODS: Within 6 h after birth, 2 newborns with HIE were cooled to a core body temperature of 33.5 degrees C for 72 h using a cooling blanket, followed by gradual rewarming (0.5 degrees C per hour) until the body temperature reached 36.5 degrees C. Custom instrumentation recorded the electrocardiogram from the leads used for clinical monitoring of vital signs. Generalized linear mixed models were calculated to estimate temperature-related changes in PQRST intervals and HRV. Results: For every 1 degrees C increase in body temperature, the heart rate increased by 9.2 bpm (95% CI 6.8-11.6), the QTc interval decreased by 21.6 ms (95% CI 17.3-25.9), and low and high frequency HRV decreased by 0.480 dB (95% CI 0.052-0.907) and 0.938 dB (95% CI 0.460-1.416), respectively. CONCLUSIONS: Hypothermia-induced changes in the electrocardiogram should be monitored carefully in future studies.

Long range physical map of the Wilms' tumor - aniridia region on human chromosome 11

Nephroblastoma or Wilms' tumor is a pediatric renal malignancy that is the most frequently occurring childhood solid tumor. Approximately 1-2% of children with Wilms' tumor also present with aniridia, a congenital absence of all or part of the iris of the eye. These children also have high rates of genitourinary anomalies and mental retardation resulting in what is called the WAGR (Wilms' tumor, aniridia, genitourinary anomaly, mental retardation) syndrome. Cytogenetic analysis of metaphase chromosomes from these patients revealed a consistent deletion of band P13 on chromosome 11. These observations suggest close physical linkage between the disease-related loci, and further imply that development of each phenotype results from the loss of normal gene function.^ The objective of this work is to understand the molecular events at chromosome band 11p13 that are essential to the development of sporadic Wilms' tumor and sporadic aniridia. Two human/hamster somatic cell hybrids have been used to identify sixteen independent DNA probes that map to this segment of the human genome. These newly identified DNA probes and four previously reported probes (CAT, FSHB, D11S16, and HBVIS) have been used to subdivide 11p13 into five intervals defined by overlapping constitutional deletions from several WAGR patients. A long-range physical map of 11p13 has been constructed using each of these probes in Southern blot analysis of genomic DNA after digestion with infrequently cutting restriction enzymes and pulse-field gel electrophoresis. This map, established primarily with MluI and NotI, spans approximately 13 $\times$ 10$\sp{6}$ bp and encompasses deletion and translocation breakpoints associated with genitourinary anomalies, aniridia, and sporadic Wilms' tumor. This complete physical map of human chromosome band 11p13 enables us to localize the genes for sporadic Wilms' tumor and sporadic aniridia to a small number of specific NotI fragments. ^

Robust effect sizes and their confidence intervals for group difference between trajectories in hierarchical linear growth model

Hierarchical linear growth model (HLGM), as a flexible and powerful analytic method, has played an increased important role in psychology, public health and medical sciences in recent decades. Mostly, researchers who conduct HLGM are interested in the treatment effect on individual trajectories, which can be indicated by the cross-level interaction effects. However, the statistical hypothesis test for the effect of cross-level interaction in HLGM only show us whether there is a significant group difference in the average rate of change, rate of acceleration or higher polynomial effect; it fails to convey information about the magnitude of the difference between the group trajectories at specific time point. Thus, reporting and interpreting effect sizes have been increased emphases in HLGM in recent years, due to the limitations and increased criticisms for statistical hypothesis testing. However, most researchers fail to report these model-implied effect sizes for group trajectories comparison and their corresponding confidence intervals in HLGM analysis, since lack of appropriate and standard functions to estimate effect sizes associated with the model-implied difference between grouping trajectories in HLGM, and also lack of computing packages in the popular statistical software to automatically calculate them. ^ The present project is the first to establish the appropriate computing functions to assess the standard difference between grouping trajectories in HLGM. We proposed the two functions to estimate effect sizes on model-based grouping trajectories difference at specific time, we also suggested the robust effect sizes to reduce the bias of estimated effect sizes. Then, we applied the proposed functions to estimate the population effect sizes (d ) and robust effect sizes (du) on the cross-level interaction in HLGM by using the three simulated datasets, and also we compared the three methods of constructing confidence intervals around d and du recommended the best one for application. At the end, we constructed 95% confidence intervals with the suitable method for the effect sizes what we obtained with the three simulated datasets. ^ The effect sizes between grouping trajectories for the three simulated longitudinal datasets indicated that even though the statistical hypothesis test shows no significant difference between grouping trajectories, effect sizes between these grouping trajectories can still be large at some time points. Therefore, effect sizes between grouping trajectories in HLGM analysis provide us additional and meaningful information to assess group effect on individual trajectories. In addition, we also compared the three methods to construct 95% confident intervals around corresponding effect sizes in this project, which handled with the uncertainty of effect sizes to population parameter. We suggested the noncentral t-distribution based method when the assumptions held, and the bootstrap bias-corrected and accelerated method when the assumptions are not met.^

Rescue of embryonic lethality in mdmx null mice by loss of p53 suggests a non-overlapping pathway with MDM2 to regulate p53

The tumor suppressor p53 is mutated in over 50% of human sporadic tumors originating from diverse tissues. p53 responds to DNA damage and cell stress by activating the transcription of a variety of target genes, the protein products of which then initiate either growth arrest or apoptosis. ^ A p53 target with a particularly intriguing function is the oncogene MDM2. MDM2 functions, in part, by binding to and inhibiting p53's activity. Overexpression of MDM2, by gene amplification, has been found in 30% of human sarcomas harboring a wild type p53, indicating that an increase in MDM2 levels is sufficient for p53 inactivation. Mice carrying a homozygous null allele for mdm2 exhibit an early embryonic lethality that is completely rescued in a p53-null background. These data indicate that MDM2's only critical function in early mouse embryogenesis is the negative regulation of p53. ^ The mdmx gene is the first additional member of the mdm2 gene family to be isolated. MDMX, like MDM2, contains a RING-finger domain, ATP binding domain and a p53 binding domain, which retains the ability to bind and inhibit p53 transactivation in vitro. However, mdmx does not appear to be transcriptionally regulated by p53. We have cloned and characterized the murine mdmx genomic locus from a mouse 129 genomic library. The mdmx gene contains 11 exons, spans approximately 37 Kb of DNA, and is located on mouse chromosome 1. The genomic organization of the mdmx gene is identical to that of mdm2 except at the 5′ end of the gene near the p53 responsive element. Northern expression analysis of mdmx transcripts during mouse embryogenesis and in adult tissues revealed constitutive and ubiquitous expression throughout adult tissues and embryonic development. To determine the in vivo function of MDMX, mice carrying a null allele of mdmx have been generated. Mdmx homozygous null mice are early embryonic lethal. Mdmx null mice do not develop beyond 9.5 dpc and can be discerned by gross dissection as early as 7.5 dpc. Utilizing TUNEL and BrdU assays on 7.5 dpc histological sections we have determined that the mutant embryos are dying due to increased levels of growth arrest, but not apoptosis. Surprisingly, Mdmx homozygous null mice are viable in a p53 null background, indicating that MDMX is also very important in the negative regulation of p53. ^