The algebraic equality of two asymptotic tests for the hypothesis that a normal distribution has a specified correlation matrix

It is proved the algebraic equality between Jennrich's (1970) asymptotic$X^2$ test for equality of correlation matrices, and a Wald test statisticderived from Neudecker and Wesselman's (1990) expression of theasymptoticvariance matrix of the sample correlation matrix.

Compact matrix expressions for generalized Wald tests of equality of moment vectors

Asymptotic chi-squared test statistics for testing the equality ofmoment vectors are developed. The test statistics proposed aregeneralizedWald test statistics that specialize for different settings by inserting andappropriate asymptotic variance matrix of sample moments. Scaled teststatisticsare also considered for dealing with situations of non-iid sampling. Thespecializationwill be carried out for testing the equality of multinomial populations, andtheequality of variance and correlation matrices for both normal andnon-normaldata. When testing the equality of correlation matrices, a scaled versionofthe normal theory chi-squared statistic is proven to be an asymptoticallyexactchi-squared statistic in the case of elliptical data.

Analgesic efficacy of intravenous perfusion of lidocaine, ketamine or a combination after laparotomy in a placebo-controlled, randomized, double-blind prospective study

In acute postoperative pain management intravenous lidocaine and/or ketamine have been advocated because of their morphine-sparing effect. The goal of this prospective, randomised, double-blind study was to assess morphine consumption with different regimens of intravenous infusion of lidocaine, ketamine or both during 48 hours following laparotomy. Patients were randomised into four groups. Group L, K, and KL received intravenous lidocaine, ketamine or a combination, respectively, before incision and during 48 hours postoperatively. The control group (C) received a similar volume of saline bolus and infusion. Postoperative analgesia included morphine delivered by a patient-controlled analgesia device. Primary outcome was the cumulative morphine consumption and pain, sedation scores, pressure algometry and side effects were our secondary outcomes. Cognition and psychomotor performance were also tested. Out of 57 eligible patients, 44 completed the study. Lidocaine reduced the cumulative morphine consumption compared with the control group (mean 0.456 mg.kg-1 +/- 0.244 (SD) versus 0.705 +/- 0.442, respectively, Ρ < 0.001). Pain scores during movement were statistically lower in all three treatment groups. Psychometric tests showed that the lidocaine group expressed more depressed feelings and sadness compared to the control group. Lidocaine administration had a morphine-sparing effect with a 36% reduction of morphine consumption while ketamine alone or combined with lidocaine did not. As a whole, our results suggest that intravenous lidocaine may offer advantages for postoperative analgesia. We propose lidocaine as a new alternative for pain control that needs to be studied further in future multicentric studies.

Spanning tests in return and stochastic discount factor mean-variance frontiers: A unifying approach

We propose new spanning tests that assess if the initial and additional assets share theeconomically meaningful cost and mean representing portfolios. We prove their asymptoticequivalence to existing tests under local alternatives. We also show that unlike two-step oriterated procedures, single-step methods such as continuously updated GMM yield numericallyidentical overidentifyng restrictions tests, so there is arguably a single spanning test.To prove these results, we extend optimal GMM inference to deal with singularities in thelong run second moment matrix of the influence functions. Finally, we test for spanningusing size and book-to-market sorted US stock portfolios.

Comparative description of the immature stages of two very similar leaf footed bugs, Holymenia clavigera (Herbst) and Anisoscelis foliacea marginella (Dallas) (Hemiptera, Coreidae, Anisoscelini)

Holymenia clavigera (Herbst, 1784) and Anisoscelis foliacea marginella (Dallas, 1852) (Hemiptera, Coreidae) present a remarkable similarity regarding egg and nymphal morphology. On the contrary, their adult stages are remarkably different. This study describes and compares the immature stages of these two coreid species. Excepting for the last instar and the shape of the hind tibia from third to last instar, nymphs of both species were identical in their gross morphologies and ultrastructures. However, H. clavigera was significantly larger than A. foliacea marginella in all stages. Thus, we suggest that these species may have evolved through evolutionary convergence, parsimony between the immature stages after speciation, Müllerian mimicry or genetic drift.

Scaled and adjusted restricted tests in multi-sample analysis of moment structures

We extend to score, Wald and difference test statistics the scaled and adjusted corrections to goodness-of-fit test statistics developed in Satorra and Bentler (1988a,b). The theory is framed in the general context of multisample analysis of moment structures, under general conditions on the distribution of observable variables. Computational issues, as well as the relation of the scaled and corrected statistics to the asymptotic robust ones, is discussed. A Monte Carlo study illustrates thecomparative performance in finite samples of corrected score test statistics.

Some hypothesis tests for the covariance matrix when the dimension is large compared to the sample size

This paper analyzes whether standard covariance matrix tests work whendimensionality is large, and in particular larger than sample size. Inthe latter case, the singularity of the sample covariance matrix makeslikelihood ratio tests degenerate, but other tests based on quadraticforms of sample covariance matrix eigenvalues remain well-defined. Westudy the consistency property and limiting distribution of these testsas dimensionality and sample size go to infinity together, with theirratio converging to a finite non-zero limit. We find that the existingtest for sphericity is robust against high dimensionality, but not thetest for equality of the covariance matrix to a given matrix. For thelatter test, we develop a new correction to the existing test statisticthat makes it robust against high dimensionality.

Constant coefficient tests for random coefficient regression

Random coefficient regression models have been applied in differentfields and they constitute a unifying setup for many statisticalproblems. The nonparametric study of this model started with Beranand Hall (1992) and it has become a fruitful framework. In thispaper we propose and study statistics for testing a basic hypothesisconcerning this model: the constancy of coefficients. The asymptoticbehavior of the statistics is investigated and bootstrapapproximations are used in order to determine the critical values ofthe test statistics. A simulation study illustrates the performanceof the proposals.

Running versus strength-based warm-up : acute effects on isometric knee extension function

This study investigated the influence of two warm-up protocols on neural and contractile parameters of knee extensors. A series of neuromuscular tests including voluntary and electrically evoked contractions were performed before and after running- (R (WU); slow running, athletic drills, and sprints) and strength-based (S (WU); bilateral 90 degrees back squats, Olympic lifting movements and reactivity exercises) warm ups (duration ~40 min) in ten-trained subjects. The estimated overall mechanical work was comparable between protocols. Maximal voluntary contraction torque (+15.6%; P < 0.01 and +10.9%; P < 0.05) and muscle activation (+10.9 and +12.9%; P < 0.05) increased to the same extent after R (WU) and S (WU), respectively. Both protocols caused a significant shortening of time to contract (-12.8 and -11.8% after R (WU) and S (WU); P < 0.05), while the other twitch parameters did not change significantly. Running- and strength-based warm ups induce similar increase in knee extensors force-generating capacity by improving the muscle activation. Both protocols have similar effects on M-wave and isometric twitch characteristics.

Assessment of human skin penetration of two irritant herbicides

Two common herbicides; isoproturon and bentazon, are strong skin irritants and cross the skin barrier easily. Assessment of percutaneous absorption of these substances is a very important step in the evaluation of any dermal or transdermal dose, especially among agricultural workers who frequently have dermal exposures during crop treatment. The aims of the study were to determine the permeation rate of human skin for both herbicides in vitro, and histologically evaluate skin damage due to irritation at different concentrations. Skin penetration was assessed using a dynamic flow-through in vitro penetration system and analysis were performed with ion trap LC-MS (acidified water: acetronitile, C18 column). Two concentrations of bentazon (75 and 150 μg/mL) and isoproturon (125 and 250 μg/mL) in saline solution were applied on excised human skin from several donors. Saline water was used as receptor fluid. Collection times were: 4, 8, and 24 hours. After the experiments, the skin was removed and examined by histopathology for apoptosis, acanthosis, acantholysis and epidermolysis. The skin permeation rate, J, was calculated from the slope of the cumulative amount permeated as a function of time. The lag time, tL, was assigned from the time-axis intercept of the extrapolation of this linearity. Our results showed that tL for bentazon and isoproturon for both concentrations tested were similar; 2, 1.5 hours, respectively. Bentazon had a lowerer J compared to isoproturon; 350, 600 ng/cm2/h, respectively. Some acanthosis was observed after 8 hours of exposure to either of the two substances. In conclusion, our in vitro experiments demonstrate that bentazon and isoproturon cross the skin barrier within 2 hours even at very low concentrations, and showed some signs of skin damage. Future tests involve concentrations found in commercial products.

Social preferences: Some simple tests and a new model

Departures from pure self interest in economic experiments have recently inspired models of "social preferences". We conduct experiments on simple two-person and three-person games with binary choices that test these theories more directly than the array of games conventionally considered. Our experiments show strong support for the prevalence of "quasi-maximin" preferences: People sacrifice to increase the payoffs for all recipients, but especially for the lowest-payoff recipients. People are also motivated by reciprocity: While people are reluctant to sacrifice to reciprocate good or bad behavior beyond what they would sacrifice for neutral parties, they withdraw willingness to sacrifice to achieve a fair outcome when others are themselves unwilling to sacrifice. Some participants are averse to getting different payoffs than others, but based on our experiments and reinterpretation of previous experiments we argue that behavior that has been presented as "difference aversion" in recent papers is actually a combination of reciprocal and quasi-maximin motivations. We formulate a model in which each player is willing to sacrifice to allocate the quasi-maximin allocation only to those players also believed to be pursuing the quasi-maximin allocation, and may sacrifice to punish unfair players.

Exact tests for correlation and for the slope in simple linear regressions without making assumptions

We present an exact test for whether two random variables that have known bounds on their support are negatively correlated. The alternative hypothesis is that they are not negatively correlated. No assumptions are made on the underlying distributions. We show by example that the Spearman rank correlation test as the competing exact test of correlation in nonparametric settings rests on an additional assumption on the data generating process without which it is not valid as a test for correlation.We then show how to test for the significance of the slope in a linear regression analysis that invovles a single independent variable and where outcomes of the dependent variable belong to a known bounded set.

Tests pharmacogénétiques: bientôt avant chaque prescription [Pharmacogenetic testing: soon before every prescription?]

Genetic polymorphisms have currently been described in more than 200 systems affecting pharmacological responses (cytochromes P450, conjugation enzymes, transporters, receptors, effectors of response, protection mechanisms, determinants of immunity). Pharmacogenetic testing, i.e. the profiling of individual patients for such variations, is about to become largely available. Recent progress in the pharmacogenetics of tamoxifen, oral anticoagulants and anti-HIV agents is reviewed to discuss critically their potential impact on prescription and contribution/limits for improving rational and safe use of pharmaceuticals. Prospective controlled trials are required to evaluate large-scale pharmacogenetic testing in therapeutics. Ethical, social and psychological issues deserve particular attention.